BIM.sustAIn - Artificial Intelligence to enhance sustainability in BIM projects
Short Description
Summary Background/Motivation
The aim of this research project is to optimize the sustainability assessment of real estate during the early phases of construction projects using Artificial Intelligence (AI).
The construction sector faces significant challenges, as early decisions regarding materials and construction methods have a substantial impact on a project's CO₂ balance and sustainability. Simultaneously, limited information is often available during these phases, making informed decisions more difficult.
Developing innovative technologies to increase efficiency and reduce CO₂ emissions is essential to achieve Austria's climate goals.
Objectives
The project focuses on integrating AI and BIM models to supplement missing parameters for sustainability assessments and enable automated links between building models and construction product data.
The primary objectives include:
- Developing AI models for the classification of BIM elements.
- Conducting lifecycle analyses based on minimal project information.
- Defining minimum requirements for digital building models.
- Reducing manual effort in sustainability assessments.
Methodological Approach
Two AI models will be developed: one for the classification of BIM elements and another for the representation of Austrian construction material databases. These models will be trained with open and project-specific datasets to improve mapping and material analysis quality. Automation will be achieved by utilizing Small and Large Language Models (SLM/LLM) to efficiently link product data and construction material information with BIM elements.
Additionally, an openBIM-based data repository will be created, integrating data from various project phases and quality levels. The research also involves identifying necessary data points and incorporating them into existing standards.
Expected Outcomes
The project aims to deliver a scalable, AI-supported solution for sustainability assessment during early project phases.
Expected results include:
- Automated assignment of construction material and product specifications.
- Minimization of information requirements for sustainability assessments.
- Provision of a building component database with adapted classification.
- More efficient decision-making processes to improve CO₂ balance and resource utilization.
Overall, the project will make a significant contribution to the implementation of climate-neutral buildings and pave the way for innovative technologies in the construction sector.
Project Partners
Project management
Digital Findet Stadt GmbH
Project or cooperation partners
- ATP sustain GmbH
- PLANDATA GmbH
Contact Address
Digital Findet Stadt GmbH
Prinz-Eugen-Straße 18/1/7
A-1040 Wien
Tel.: +43 (664) 41 892 14
E-Mail: office@digitalfindetstadt.at
Web: www.digitalfindetstadt.at